Gary An
Impact in
- Modeling and Simulation top 0.5%
- Mathematical Biology Tumor Growth
- Health Informatics top 2%
Papers in ⓘ
-
- Mathematical Biology Tumor Growth 11
- Co-authors
- Yoram Vodovotz (37 shared papers)Qi Mi (8 shared papers)Chase Cockrell (14 shared papers)John C. Alverdy (10 shared papers)Joyeeta Dutta‐Moscato (3 shared papers)John Bartels (4 shared papers)Marie Csete (2 shared papers)Michael A. West (2 shared papers)
- Journals
- Journal of Surgical Research (10 papers)Journal of Critical Care (9 papers)Journal of Burn Care & Research (6 papers)Theoretical Biology and Medical Modelling (5 papers)Shock (5 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Gary An
162 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 190
- Modeling and Simulation 358
- Health Informatics 52
- Immunology 609
- Critical Care and Intensive Care Medicine 138
- Emergency Medicine 238
Countries citing papers authored by Gary An
This map shows the geographic impact of Gary An's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Gary An with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gary An more than expected).
Fields of papers citing papers by Gary An
This network shows the impact of papers produced by Gary An. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Gary An. The network helps show where Gary An may publish in the future.
Co-authors
The 25 scholars most cited alongside Gary An, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 176 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Collagen degradation and MMP9 activation by Enterococcus faecalis contribute to intestinal anastomotic leak Hit paper breakdown → | 2015 | 278 |
| 2 | 2009 | 208 | |
| 3 | 2008 | 163 | |
| 4 | 2012 | 145 | |
| 5 | 2004 | 144 | |
| 6 | 2009 | 113 | |
| 7 | 2004 | 102 | |
| 8 | 2007 | 100 | |
| 9 | 2001 | 100 | |
| 10 | 2008 | 99 | |
| 11 | 2013 | 93 | |
| 12 | 2022 | 87 | |
| 13 | 2008 | 85 | |
| 14 | 2008 | 80 | |
| 15 | 2002 | 70 | |
| 16 | 2011 | 65 | |
| 17 | 2016 | 64 | |
| 18 | 2016 | 58 | |
| 19 | 2000 | 57 | |
| 20 | 2008 | 52 |
About Gary An
Gary An is a scholar working on Modeling and Simulation, Health Informatics, Emergency Medicine, Molecular Biology and Anesthesiology and Pain Medicine, having authored 176 papers that have together received 4.2k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (21 papers), Sepsis Diagnosis and Treatment (20 papers), Immune Response and Inflammation (12 papers), Receptor Mechanisms and Signaling (11 papers), Mathematical Biology Tumor Growth (11 papers), Trauma and Emergency Care Studies (9 papers), Multiple Myeloma Research and Treatments (8 papers) and Bioinformatics and Genomic Networks (8 papers). The work is most often cited by research in Modeling and Simulation (358 citations), Health Informatics (52 citations), Immunology (609 citations), Critical Care and Intensive Care Medicine (138 citations) and Emergency Medicine (238 citations). Gary An has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Yoram Vodovotz, Qi Mi, Chase Cockrell, John C. Alverdy, Joyeeta Dutta‐Moscato, John Bartels, Marie Csete, Michael A. West, Scott Christley and Olga Zaborina. Their work appears in journals such as Journal of Surgical Research, Journal of Critical Care, Journal of Burn Care & Research, Theoretical Biology and Medical Modelling and Shock.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.